Context guide

Best long-context AI models

This page ranks live models by usable context window first, then pricing and capability support, so you can shortlist models for large documents, repositories, transcripts, and agent memory.

Live signalLargest listed context windows in the live catalog

Live signalPaid pricing visibility for real budget planning

Live signalCapability coverage for text, tools, and structured output

Live signalUseful for repository review, long transcripts, and large prompts

Fast answer

Start with the live shortlist, then validate the route

Long context matters when prompts include large codebases, long documents, meeting transcripts, or multi-file retrieval results that would otherwise need chunking or repeated calls.

Data source and freshness

Catalog-backed, not a static price sheet

TVP refreshes this page from the live OpenRouter model catalog. This render used 587 public model records and was synchronized Sep 11, 2026, 5:51 AM UTC. Pricing, availability, and context values can change.

Verify the exact route before sending production traffic, then use the linked model and provider pages as the source for current values. Read the TVP data methodology.

Shortlist

Top live candidates right now

x-ai

SpaceXAI: Grok 4.20

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

Context2,000,000

Input$1.25

Output$2.50

2,000,000 token context makes it a fit for large prompts, transcripts, documents, and repositories.

text
image
file
tools
structured

Model details Provider page

x-ai

SpaceXAI: Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...

Context2,000,000

Input$1.25

Output$2.50

2,000,000 token context makes it a fit for large prompts, transcripts, documents, and repositories.

text
image
file
structured

Model details Provider page

~deepseek

DeepSeek V4 Flash Latest

This model always redirects to the latest model in the DeepSeek V4 Flash family.

Context1,310,720

Input$0.04

Output$0.16

1,310,720 token context makes it a fit for large prompts, transcripts, documents, and repositories.

text
tools
structured

Model details Provider page

deepseek

DeepSeek: DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

Context1,310,720

Input$0.065

Output$0.18

1,310,720 token context makes it a fit for large prompts, transcripts, documents, and repositories.

text
tools
structured

Model details Provider page

~z-ai

Z.ai: GLM Flash Latest

This model always redirects to the latest model in the GLM Flash family.

Context1,310,720

Input$0.075

Output$0.25

1,310,720 token context makes it a fit for large prompts, transcripts, documents, and repositories.

text
image
video
tools
structured

Model details Provider page

FAQ

What buyers usually ask

When does long context matter most?

Long context matters when prompts include large codebases, long documents, meeting transcripts, or multi-file retrieval results that would otherwise need chunking or repeated calls.

Is the biggest context window always the best choice?

No. Very large context is helpful only if the model quality and price still fit the workload. Some teams do better with a smaller context model plus retrieval.

Next step

Use the guide, then validate the route in live TVP data.

TVP keeps the shortlist connected to the current catalog, provider coverage, and token pricing so buyers can move from research to routing without starting over.

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